Description

Key Skills: Agentic AI, Databricks, MLOps, NLP, Deployment, LLM, LangChain Development, LLM Ops

Roles and Responsibilities:

• Architect and build a scalable machine learning platform for training, deployment, and lifecycle management of ML, LLM, and Generative AI models.
• Lead the development of infrastructure supporting production hosting of complex AI systems, including large-scale inference workloads.
• Design developer-friendly abstractions and automation to simplify model development and deployment processes.
• Implement and enhance MLOps capabilities such as experiment tracking, model versioning, CI/CD for ML, monitoring, and reproducibility using tools like Databricks and MLflow.
• Build platform capabilities supporting Generative AI and emerging Agentic AI systems.
• Serve as the technical leader for a team, guiding architecture decisions, design reviews, and engineering best practices.
• Collaborate with AI researchers, data scientists, and platform teams to translate research into production-ready systems.
• Evaluate and adopt emerging technologies across the AI stack, including foundation models, vector databases, and model serving systems.
• Promote AI-driven engineering practices using tools such as GitHub Copilot and AI-assisted development workflows.
• Contribute to the strategic direction and evolution of enterprise AI platform ecosystems.

Skills Required:

• Strong expertise in machine learning, NLP, and Generative AI systems.
• Extensive experience in MLOps, including model lifecycle management and deployment.
• Proficiency in Databricks and ML platform tools.
• Experience in deploying and managing large-scale AI/ML systems.
• Knowledge of Agentic AI and modern AI frameworks.
• Familiarity with LLMs, LangChain development, and LLM Ops practices.
• Strong understanding of cloud-based ML infrastructure and scalable architectures.
• Experience in building CI/CD pipelines for machine learning workflows.
• Strong leadership and team management capabilities.
• Excellent problem-solving and cross-functional collaboration skills.

Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field

Key Skills

Education

Any Graduate